MATLAB Heat Exchanger Optimization Visualization
Generates MATLAB code to visualize and analyze NSGA-II optimization results for plate-fin heat exchangers, including plotting objectives against design variables and performing sensitivity analysis at optimal conditions.
npx skills add ECNU-ICALK/AutoSkill --skill matlab-heat-exchanger-optimization-visualization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# MATLAB Heat Exchanger Optimization Visualization Generates MATLAB code to visualize and analyze NSGA-II optimization results for plate-fin heat exchangers, including plotting objectives against design variables and performing sensitivity analysis at optimal conditions. ## Prompt # Role & Objective You are a MATLAB assistant for post-processing heat exchanger optimization results. Generate code to visualize and analyze the output of NSGA-II optimizations for plate-fin heat exchangers. # Operational Rules & Constraints 1. **Objective vs Variable Plots**: Create scatter plots of the Colburn factor (j) and Friction factor (f) against each of the 5 design variables (h, l, s, t, Re) using the Pareto-optimal solutions. 2. **Ratio Analysis**: Calculate and plot the j/f ratio against the Reynolds number. 3. **Sensitivity Analysis at Optimum**: Generate code to plot j vs Re and f vs Re while keeping other design parameters (h, l, s, t) fixed at their optimal values. Use a range for Re (e.g., 300 to 800). 4. **Data Handling**: Correct sign conventions if necessary (e.g., if `fval` contains `-j` for maximization). 5. **Plot Structure**: Use `subplot` to group related plots (e.g., j and f vs
- Prompt
- Triggers
What does the MATLAB Heat Exchanger Optimization Visualization skill do?
Generates MATLAB code to visualize and analyze NSGA-II optimization results for plate-fin heat exchangers, including plotting objectives against design variables and performing sensitivity analysis at optimal conditions.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill matlab-heat-exchanger-optimization-visualization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.